# WACVW-2024-Papers

<table>
    <tr>
        <td><strong>Application</strong></td>
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## Real-World Surveillance: Applications and Challenges

![Section Papers](https://img.shields.io/badge/Section%20Papers-27-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-9-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-15-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-1-FF0000)

| **Title** | **Repo** | **Paper** | **Video** |
|-----------|:--------:|:---------:|:---------:|
| [Person Fall Detection using Weakly Supervised Methods](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Madsen_Person_Fall_Detection_Using_Weakly_Supervised_Methods_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Madsen_Person_Fall_Detection_Using_Weakly_Supervised_Methods_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [C<sup>2</sup>T-Net: Channel-Aware Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Bui_C2T-Net_Channel-Aware_Cross-Fused_Transformer-Style_Networks_for_Pedestrian_Attribute_Recognition_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/caodoanh2001/upar_challenge?style=flat)](https://github.com/caodoanh2001/upar_challenge) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Bui_C2T-Net_Channel-Aware_Cross-Fused_Transformer-Style_Networks_for_Pedestrian_Attribute_Recognition_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Security Fence Inspection at Airports using Object Detection](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Friederich_Security_Fence_Inspection_at_Airports_Using_Object_Detection_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/N-Friederich/airport_fence_inspection?style=flat)](https://github.com/N-Friederich/airport_fence_inspection) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Friederich_Security_Fence_Inspection_at_Airports_Using_Object_Detection_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2311.12064-b31b1b.svg)](http://arxiv.org/abs/2311.12064) | :heavy_minus_sign: |
| [Filter-Pruning of Lightweight Face Detectors using a Geometric Median Criterion](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Gkrispanis_Filter-Pruning_of_Lightweight_Face_Detectors_Using_a_Geometric_Median_Criterion_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/IDT-ITI/Lightweight-Face-Detector-Pruning?style=flat)](https://github.com/IDT-ITI/Lightweight-Face-Detector-Pruning) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Gkrispanis_Filter-Pruning_of_Lightweight_Face_Detectors_Using_a_Geometric_Median_Criterion_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2311.16613-b31b1b.svg)](http://arxiv.org/abs/2311.16613) | :heavy_minus_sign: |
| [Temporal 3D Shape Modeling for Video-based Cloth-Changing Person Re-Identification](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Nguyen_Temporal_3D_Shape_Modeling_for_Video-Based_Cloth-Changing_Person_Re-Identification_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/dustin-nguyen-qil/SEMI_VCCReID?style=flat)](https://github.com/dustin-nguyen-qil/SEMI_VCCReID) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Nguyen_Temporal_3D_Shape_Modeling_for_Video-Based_Cloth-Changing_Person_Re-Identification_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/AlMarri_A_Multi-Head_Approach_With_Shuffled_Segments_for_Weakly-Supervised_Video_Anomaly_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/AlMarri_A_Multi-Head_Approach_With_Shuffled_Segments_for_Weakly-Supervised_Video_Anomaly_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Accenture-MM1: A Multimodal Person Recognition Dataset](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/OBrien_Accenture-MM1_A_Multimodal_Person_Recognition_Dataset_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/OBrien_Accenture-MM1_A_Multimodal_Person_Recognition_Dataset_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [FedFSLAR: A Federated Learning Framework for Few-Shot Action Recognition](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Tu_FedFSLAR_A_Federated_Learning_Framework_for_Few-Shot_Action_Recognition_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Tu_FedFSLAR_A_Federated_Learning_Framework_for_Few-Shot_Action_Recognition_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Enhancing Skeleton-based Action Recognition in Real-World Scenarios through Realistic Data Augmentation](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Cormier_Enhancing_Skeleton-Based_Action_Recognition_in_Real-World_Scenarios_Through_Realistic_Data_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/MickaelCormier/Skelbumentations?style=flat)](https://github.com/MickaelCormier/Skelbumentations) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Cormier_Enhancing_Skeleton-Based_Action_Recognition_in_Real-World_Scenarios_Through_Realistic_Data_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Identifying Loitering Behavior with Trajectory Analysis](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Nunez_Identifying_Loitering_Behavior_With_Trajectory_Analysis_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/johnnynunez/RS-WACV24_Loitering?style=flat)](https://github.com/johnnynunez/RS-WACV24_Loitering) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Nunez_Identifying_Loitering_Behavior_With_Trajectory_Analysis_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Overlooked Video Classification in Weakly Supervised Video Anomaly Detection](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Tan_Overlooked_Video_Classification_in_Weakly_Supervised_Video_Anomaly_Detection_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/wjtan99/BERT_Anomaly_Video_Classification?style=flat)](https://github.com/wjtan99/BERT_Anomaly_Video_Classification) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Tan_Overlooked_Video_Classification_in_Weakly_Supervised_Video_Anomaly_Detection_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2210.06688-b31b1b.svg)](http://arxiv.org/abs/2210.06688) | :heavy_minus_sign: |
| [Swin on Axes: Extending Swin Transformers to Quadtree Image Representations](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Oliu_Swin_on_Axes_Extending_Swin_Transformers_to_Quadtree_Image_Representations_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Oliu_Swin_on_Axes_Extending_Swin_Transformers_to_Quadtree_Image_Representations_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [LiDAR-Assisted 3D Human Detection for Video Surveillance](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Blanch_LiDAR-Assisted_3D_Human_Detection_for_Video_Surveillance_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/0Miquel/OpenPCDet-video-surveillance?style=flat)](https://github.com/0Miquel/OpenPCDet-video-surveillance) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Blanch_LiDAR-Assisted_3D_Human_Detection_for_Video_Surveillance_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Knowledge-Distillation-based Label Smoothing for Fine-Grained Open-Set Vehicle Recognition](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Wolf_Knowledge-Distillation-Based_Label_Smoothing_for_Fine-Grained_Open-Set_Vehicle_Recognition_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Wolf_Knowledge-Distillation-Based_Label_Smoothing_for_Fine-Grained_Open-Set_Vehicle_Recognition_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Arkushin_GEFF_Improving_Any_Clothes-Changing_Person_ReID_Model_Using_Gallery_Enrichment_WACVW_2024_paper.html) | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://vision.huji.ac.il/reface/) <br /> [![GitHub](https://img.shields.io/github/stars/bar371/GEFF?style=flat)](https://github.com/bar371/GEFF) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Arkushin_GEFF_Improving_Any_Clothes-Changing_Person_ReID_Model_Using_Gallery_Enrichment_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2211.13807-b31b1b.svg)](http://arxiv.org/abs/2211.13807) | :heavy_minus_sign: |
| [EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Teepe_EarlyBird_Early-Fusion_for_Multi-View_Tracking_in_the_Birds_Eye_View_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/tteepe/EarlyBird?style=flat)](https://github.com/tteepe/EarlyBird) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Teepe_EarlyBird_Early-Fusion_for_Multi-View_Tracking_in_the_Birds_Eye_View_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2310.13350-b31b1b.svg)](http://arxiv.org/abs/2310.13350) | :heavy_minus_sign: |
| [Spatio-Temporal Activity Detection via Joint Optimization of Spatial and Temporal Localization](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Rahman_Spatio-Temporal_Activity_Detection_via_Joint_Optimization_of_Spatial_and_Temporal_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Rahman_Spatio-Temporal_Activity_Detection_via_Joint_Optimization_of_Spatial_and_Temporal_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [HOD: New Harmful Object Detection Benchmarks for Robust Surveillance](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Ha_HOD_New_Harmful_Object_Detection_Benchmarks_for_Robust_Surveillance_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/poori-nuna/HOD-Benchmark-Dataset?style=flat)](https://github.com/poori-nuna/HOD-Benchmark-Dataset) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Ha_HOD_New_Harmful_Object_Detection_Benchmarks_for_Robust_Surveillance_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Enhancing Self-Supervised Monocular Depth Estimation via Piece-Wise Pose Estimation and Geometric Constraints](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Shyam_Enhancing_Self-Supervised_Monocular_Depth_Estimation_via_Piece-Wise_Pose_Estimation_and_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Shyam_Enhancing_Self-Supervised_Monocular_Depth_Estimation_via_Piece-Wise_Pose_Estimation_and_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Munir_Investigation_of_UAV_Detection_in_Images_With_Complex_Backgrounds_and_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/AdnanMunir294/UAVD-CBRA?style=flat)](https://github.com/AdnanMunir294/UAVD-CBRA) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Munir_Investigation_of_UAV_Detection_in_Images_With_Complex_Backgrounds_and_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2305.16450-b31b1b.svg)](http://arxiv.org/abs/2305.16450) | :heavy_minus_sign: |
| [Aerial View 3D Human Pose Estimation using Double Vector Quantized-Variational AutoEncoders](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Hwang_Aerial_View_3D_Human_Pose_Estimation_Using_Double_Vector_Quantized-Variational_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Hwang_Aerial_View_3D_Human_Pose_Estimation_Using_Double_Vector_Quantized-Variational_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Unsupervised Person Re-Identification in Aerial Imagery](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Khaldi_Unsupervised_Person_Re-Identification_in_Aerial_Imagery_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Khaldi_Unsupervised_Person_Re-Identification_in_Aerial_Imagery_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [UPAR Challenge 2024: Pedestrian Attribute Recognition and Attribute-based Person Retrieval - Dataset, Design, and Results](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Cormier_UPAR_Challenge_2024_Pedestrian_Attribute_Recognition_and_Attribute-Based_Person_Retrieval_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/speckean/upar_challenge?style=flat)](https://github.com/speckean/upar_challenge) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Cormier_UPAR_Challenge_2024_Pedestrian_Attribute_Recognition_and_Attribute-Based_Person_Retrieval_WACVW_2024_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=8CTFwgQ8qFI) |
| [TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Fawakherji_TextAug_Test_Time_Text_Augmentation_for_Multimodal_Person_Re-Identification_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Fawakherji_TextAug_Test_Time_Text_Augmentation_for_Multimodal_Person_Re-Identification_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2312.01605-b31b1b.svg)](http://arxiv.org/abs/2312.01605) | :heavy_minus_sign: |
| [Evaluating Supervision Levels Trade-Offs for Infrared-based People Counting](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Latortue_Evaluating_Supervision_Levels_Trade-Offs_for_Infrared-Based_People_Counting_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/tortueTortue/IRPeopleCounting?style=flat)](https://github.com/tortueTortue/IRPeopleCounting) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Latortue_Evaluating_Supervision_Levels_Trade-Offs_for_Infrared-Based_People_Counting_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2311.11974-b31b1b.svg)](http://arxiv.org/abs/2311.11974) | :heavy_minus_sign: |
| [Unsupervised 3D Skeleton-based Action Recognition using Cross-Attention with Conditioned Generation Capabilities](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Lerch_Unsupervised_3D_Skeleton-Based_Action_Recognition_Using_Cross-Attention_With_Conditioned_Generation_WACVW_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Lerch_Unsupervised_3D_Skeleton-Based_Action_Recognition_Using_Cross-Attention_With_Conditioned_Generation_WACVW_2024_paper.pdf) | :heavy_minus_sign: |
| [Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports](https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Huang_Iterative_Scale-Up_ExpansionIoU_and_Deep_Features_Association_for_Multi-Object_Tracking_WACVW_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/hsiangwei0903/Deep-EIoU?style=flat)](https://github.com/hsiangwei0903/Deep-EIoU) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024W/RWS/papers/Huang_Iterative_Scale-Up_ExpansionIoU_and_Deep_Features_Association_for_Multi-Object_Tracking_WACVW_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2306.13074-b31b1b.svg)](http://arxiv.org/abs/2306.13074) | :heavy_minus_sign: |
